571 search results - page 34 / 115 » Learning to Track with Multiple Observers |
136
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CVPR
2010
IEEE
15 years 1 months ago
2010
IEEE
We present a novel method for the discovery and statistical representation of motion patterns in a scene observed by a static camera. Related methods involving learning of pattern...
123
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ICCV
2009
IEEE
14 years 11 months ago
2009
IEEE
Most motion-based tracking algorithms assume that objects undergo rigid motion, which is most likely disobeyed in real world. In this paper, we present a novel motionbased trackin...
103
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TSMC
2008
15 years 1 months ago
2008
Sensor networks are widely used in monitoring and tracking a large number of objects. Without prior knowledge on the dynamics of object distribution, their density estimation could...
116
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ICMLC
2010
Springer
14 years 11 months ago
2010
Springer
We review a multiple kernel learning (MKL) technique called p regularised multiple kernel Fisher discriminant analysis (MK-FDA), and investigate the effect of feature space denois...
112
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SDM
2010
SIAM
15 years 2 months ago
2010
SIAM
This paper addresses the challenging problem of learning from multiple annotators whose labeling accuracy (reliability) differs and varies over time. We propose a framework based ...